Vermeire Tessa, Vermaere Stijn, Schepens Bert, Saelens Xavier, Van Gucht Steven, Martens Lennart, Vandermarliere Elien
Department of Medical Protein Research, VIB, Ghent, Belgium; Department of Biochemistry, Ghent University, Ghent, Belgium.
Proteomics. 2015 Apr;15(8):1448-52. doi: 10.1002/pmic.201400354. Epub 2015 Mar 3.
The integration of a protein's structure with its known sequence variation provides insight on how that protein evolves, for instance in terms of (changing) function or immunogenicity. Yet, collating the corresponding sequence variants into a multiple sequence alignment, calculating each position's conservation, and mapping this information back onto a relevant structure is not straightforward. We therefore built the Sequence Conservation on Protein 3D structure (scop3D) tool to perform these tasks automatically. The output consists of two modified PDB files in which the B-values for each position are replaced by the percentage sequence conservation, or the information entropy for each position, respectively. Furthermore, text files with absolute and relative amino acid occurrences for each position are also provided, along with snapshots of the protein from six distinct directions in space. The visualization provided by scop3D can for instance be used as an aid in vaccine development or to identify antigenic hotspots, which we here demonstrate based on an analysis of the fusion proteins of human respiratory syncytial virus and mumps virus.
将蛋白质的结构与其已知的序列变异相结合,有助于深入了解该蛋白质的进化方式,例如在(不断变化的)功能或免疫原性方面。然而,将相应的序列变异整理成多序列比对、计算每个位置的保守性,并将此信息映射回相关结构并非易事。因此,我们构建了蛋白质三维结构序列保守性(scop3D)工具来自动执行这些任务。输出结果包括两个修改后的PDB文件,其中每个位置的B值分别被序列保守百分比或每个位置的信息熵所取代。此外,还提供了每个位置的绝对和相对氨基酸出现情况的文本文件,以及蛋白质在空间中六个不同方向的快照。scop3D提供的可视化例如可用于辅助疫苗开发或识别抗原热点,我们在此通过对人类呼吸道合胞病毒和腮腺炎病毒的融合蛋白进行分析来证明这一点。